Face Recognition & Principal Component Analysis Method : Algorithm, Simulation & Discussion

Liton Chandra Paul, Abdulla al Suman

ISBN 10: 3659461458 / ISBN 13: 9783659461453

Verlag: LAP LAMBERT Academic Publishing, 2013

Beschreibung

Zustand: Sehr gut | Seiten: 80 | Sprache: Englisch | Produktart: Bücher.

Bestandsnummer des Verkäufers 24250535/2

Bibliografische Details

• Titel: Face Recognition & Principal Component Analysis Method : Algorithm, Simulation & Discussion
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 3659461458
• ISBN-13: 9783659461453
• Einband: Softcover
• Zustand: Sehr gut

Über diesen Titel

Inhaltsangabe

This book mainly addresses the building of face recognition system and Principal Component Analysis (PCA) method in details. PCA is a statistical approach used for reducing the number of variables in face recognition. In PCA, every image in the training set is represented as a linear combination of weighted eigenvectors called eigenfaces. These eigenvectors are obtained from covariance matrix of a training image set called as basis function. The weights are found out after selecting a set of most relevant Eigenfaces. Recognition is performed by projecting a test image onto the subspace spanned by the eigenfaces and then classification is done by measuring Euclidean distance. A number of experiments were done to evaluate the performance of the face recognition system. Here, I used a training database of students of ETE-07 series, RUET, Rajshahi-6204, Bangladesh.